Name | Modified | Size | Downloads / Week |
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Parent folder | |||
README.md | 2022-11-09 | 561 Bytes | |
Release v1.3.0 source code.tar.gz | 2022-11-09 | 1.4 MB | |
Release v1.3.0 source code.zip | 2022-11-09 | 1.8 MB | |
Totals: 3 Items | 3.2 MB | 0 |
- Feat:
- Operators:
- Vertical:linear_regression, sampler;
- Horizontal: bert, densenet, vgg, woe_iv;
- Local: data_split, data_statistic, feature_preprocess;
- New horizontal templates for TensorFlow, PaddlePaddle;
- Vertical XGBoost supports category features and offline inference, the output model file changes to json format;
- Vertical K-Means supports new initial method kmeans++;
- Operators:
- Improvement:
- The vertical operator parameters are simplified, and the assist_trainer parameter does not need to be configured before training;